Abstract

Open Sesame! 1.0-released in 1993-was the world's first commercial user interface learning agent. The development of this agent involved a number of decisions about basic design issues that had not been previously addressed, including the expected types of agents and the preferred form and frequency of interaction. In the 2 years after shipping Open Sesame! 1.0, we have compiled a rich database of customer feedback. Many of our design choices have been validated by the general approval of our customers, while some were not received as favorably. Thanks to the overwhelming amount of feedback, we were able to substantially improve the design for Open Sesame! 2.0 and develop a cross-platform learning engine-Learn Sesame-that can be used to add learning agent functionality to any third-party application. In this article, we present a summary of the lessons learned from customer feedback, an outline of resulting design changes, the details of the developed learning agent engine, and planned research.

Keywords

Computer scienceInterface (matter)Human–computer interaction

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Publication Info

Year
1997
Type
article
Volume
11
Issue
5
Pages
393-412
Citations
52
Access
Closed

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Cite This

Alper Çağlayan, Magnús Snorrason, J.Z. Jacoby et al. (1997). Learn sesame a learning agent engine. Applied Artificial Intelligence , 11 (5) , 393-412. https://doi.org/10.1080/088395197118109

Identifiers

DOI
10.1080/088395197118109